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dc.contributor.authorLombardo, Luigi
dc.contributor.authorTanyas, Hakan
dc.contributor.authorHuser, Raphaël
dc.contributor.authorGuzzetti, Fausto
dc.contributor.authorCastro-Camilo, Daniela
dc.date.accessioned2021-01-14T10:53:24Z
dc.date.available2021-01-14T10:53:24Z
dc.date.issued2021-01-07
dc.identifier.citationLombardo, L., Tanyas, H., Huser, R., Guzzetti, F., & Castro Camilo, D. (2021). Landslide size matters: a new spatial predictive paradigm. doi:10.31223/x5ww3k
dc.identifier.doi10.31223/x5ww3k
dc.identifier.doi10.5194/egusphere-egu21-2443
dc.identifier.urihttp://hdl.handle.net/10754/666902
dc.description.abstractThe standard definition of landslide hazard requires the estimation of where, when (or how frequently) and how large a given landslide event may be. The geomorphological community involved in statistical models has addressed the component pertaining to how large a landslide event may be by introducing the concept of landslide-event magnitude scale. This scale, which depends on the planimetric area of the given population of landslides, in analogy to the earthquake magnitude, has been expressed with a single value per landslide event. As a result, the geographic or spatially-distributed estimation of how large a population of landslide may be when considered at the slope scale, has been disregarded in statistically-based landslide hazard studies. Conversely, the estimation of the landslide extent has been commonly part of physically-based applications, though their implementation is often limited to very small regions.
dc.publisherCalifornia Digital Library (CDL)
dc.relation.urlhttp://eartharxiv.org/repository/view/1963/
dc.rightsArchived with thanks to California Digital Library (CDL)
dc.titleLandslide size matters: a new spatial predictive paradigm
dc.typePreprint
dc.contributor.departmentStatistics Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.eprint.versionPre-print
dc.contributor.institutionUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), PO Box 217, Enschede, AE 7500, Netherlands.
dc.contributor.institutionHydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States.
dc.contributor.institutionUSRA, Universities Space Research Association, Columbia, MD, United States.
dc.contributor.institutionConsiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca per la Protezione Idrogeologica (IRPI), via Madonna Alta 126, 06128 Perugia, Italy.
dc.contributor.institutionPresidenza del Consiglio dei Ministri, Dipartimento della Protezione Civile, via Vitorchiano 2, 00189 Roma, Italy.
dc.contributor.institutionSchool of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QQ, UK.
kaust.personHuser, Raphaël
refterms.dateFOA2021-01-14T10:54:55Z


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